Hai-Feng Chen

Orcid: 0000-0002-7496-4182

Affiliations:
  • Shanghai Jiao Tong University, China


According to our database1, Hai-Feng Chen authored at least 26 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Multi-indicator comparative evaluation for deep learning-based protein sequence design methods.
Bioinform., February, 2024

Early Aggregation Mechanism of SOD1<sub>28-38</sub> Based on Force Field Parameter of 5-Cyano-Tryptophan.
J. Chem. Inf. Model., 2024

Graphormer supervised <i>de novo</i> protein design method and function validation.
Briefings Bioinform., 2024

2023
Phanto-IDP: compact model for precise intrinsically disordered protein backbone generation and enhanced sampling.
Briefings Bioinform., November, 2023

Research and Evaluation of the Allosteric Protein-Specific Force Field Based on a Pre-Training Deep Learning Model.
J. Chem. Inf. Model., April, 2023

Phosphorylation Modification Force Field FB18CMAP Improving Conformation Sampling of Phosphoproteins.
J. Chem. Inf. Model., March, 2023

Phosphorylation Regulation Mechanism of β2 Integrin for the Binding of Filamin Revealed by Markov State Model.
J. Chem. Inf. Model., January, 2023

PTMint database of experimentally verified PTM regulation on protein-protein interaction.
Bioinform., January, 2023

Personal Precise Force Field for Intrinsically Disordered and Ordered Proteins Based on Deep Learning.
J. Chem. Inf. Model., 2023

Development and Application of Offshore Trade Authenticity Verification Platform Based on Blockchain.
Proceedings of the Design Studies and Intelligence Engineering, 2023

2022
Polarizable Force Field of Intrinsically Disordered Proteins with CMAP and Reweighting Optimization.
J. Chem. Inf. Model., 2022

RNA-Specific Force Field Optimization with CMAP and Reweighting.
J. Chem. Inf. Model., 2022

2021
Balanced Solvent Model for Intrinsically Disordered and Ordered Proteins.
J. Chem. Inf. Model., 2021

Recent Force Field Strategies for Intrinsically Disordered Proteins.
J. Chem. Inf. Model., 2021

2020
Environment-Specific Force Field for Intrinsically Disordered and Ordered Proteins.
J. Chem. Inf. Model., 2020

Comparison and Evaluation of Force Fields for Intrinsically Disordered Proteins.
J. Chem. Inf. Model., 2020

2019
Residue-Specific Force Field Improving the Sample of Intrinsically Disordered Proteins and Folded Proteins.
J. Chem. Inf. Model., 2019

Gain-of-Function SHP2 E76Q Mutant Rescuing Autoinhibition Mechanism Associated with Juvenile Myelomonocytic Leukemia.
J. Chem. Inf. Model., 2019

Exploring the Pyrazinamide Drug Resistance Mechanism of Clinical Mutants T370P and W403G in Ribosomal Protein S1 ofMycobacterium tuberculosis.
J. Chem. Inf. Model., 2019

Dynamical important residue network (DIRN): network inference via conformational change.
Bioinform., 2019

2018
Inhibitory mechanism of 5-bromo-3-indoleacetic acid for non-structural-3 helicase hepatitis C virus with dynamics correlation network analysis.
Comput. Biol. Chem., 2018

2017
Allosteric Autoinhibition Pathway in Transcription Factor ERG: Dynamics Network and Mutant Experimental Evaluations.
J. Chem. Inf. Model., 2017

The IDP-Specific Force Field <i>ff14IDPSFF</i> Improves the Conformer Sampling of Intrinsically Disordered Proteins.
J. Chem. Inf. Model., 2017

2016
Synergistic Allosteric Mechanism of Fructose-1, 6-bisphosphate and Serine for Pyruvate Kinase M2 via Dynamics Fluctuation Network Analysis.
J. Chem. Inf. Model., 2016

2015
Test and Evaluation of <i>ff99IDPs</i> Force Field for Intrinsically Disordered Proteins.
J. Chem. Inf. Model., 2015

2009
Aggregation mechanism investigation of the GIFQINS cross-beta amyloid fibril.
Comput. Biol. Chem., 2009


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